In this paper, we present a new approach in order to solve the linear complementary problem noted (LCP). We have combined the ideas of Lemke's method and its variants taking advantage of the benefits of each approach in order to improve the convergence of these algorithms. Numerical simulations and comparative results of the new approach are provided. Since the quadratic convex program and linear program can be written as (LCP), so it can be resolved thanks to our new approach
Based on smoothing techniques, we propose two new methods to solve linear complementarity problems (...
AbstractWe describe a “condition” number for the linear complementarity problem (LCP), which charact...
One shows that different formulations of the linear complementarity problem (LCP), such as the horiz...
An iterative scheme is given for solving the linear complementarity problem x> 0, Mx + q> 0, x...
We define the Linear Complementarity Problem (LCP) and outline its applications including those to L...
This study centers on the task of efficiently finding a solution of the linear complementarity probl...
This research is concerned with the development of a computationally efficient improvement algorithm...
AbstractIn an earlier paper, it was shown that the linear and quadratic programming problems in comp...
AbstractThe linear complementarity problem LCP(M,q) is to find a vector z in IRn satisfying zT(Mz+q)...
AbstractWe extend the potential reduction algorithm to solve the restricted convex linear complement...
In this note, the unique solution of the linear complementarity problem (LCP) is further discussed. ...
A family of complementarity problems are defined as extensions of the well known Linear Complementar...
A family of complementarity problems are defined as extensions of the well known Linear Complementar...
Abstract — The linear complementarity problem (LCP) is a general problem that unifies linear and qua...
In this paper, we present a theoretical and numerical study of linear complementary problems solvabl...
Based on smoothing techniques, we propose two new methods to solve linear complementarity problems (...
AbstractWe describe a “condition” number for the linear complementarity problem (LCP), which charact...
One shows that different formulations of the linear complementarity problem (LCP), such as the horiz...
An iterative scheme is given for solving the linear complementarity problem x> 0, Mx + q> 0, x...
We define the Linear Complementarity Problem (LCP) and outline its applications including those to L...
This study centers on the task of efficiently finding a solution of the linear complementarity probl...
This research is concerned with the development of a computationally efficient improvement algorithm...
AbstractIn an earlier paper, it was shown that the linear and quadratic programming problems in comp...
AbstractThe linear complementarity problem LCP(M,q) is to find a vector z in IRn satisfying zT(Mz+q)...
AbstractWe extend the potential reduction algorithm to solve the restricted convex linear complement...
In this note, the unique solution of the linear complementarity problem (LCP) is further discussed. ...
A family of complementarity problems are defined as extensions of the well known Linear Complementar...
A family of complementarity problems are defined as extensions of the well known Linear Complementar...
Abstract — The linear complementarity problem (LCP) is a general problem that unifies linear and qua...
In this paper, we present a theoretical and numerical study of linear complementary problems solvabl...
Based on smoothing techniques, we propose two new methods to solve linear complementarity problems (...
AbstractWe describe a “condition” number for the linear complementarity problem (LCP), which charact...
One shows that different formulations of the linear complementarity problem (LCP), such as the horiz...